Model-Based Interoperability of Heterogeneous Information Systems: An Industrial Case Study

2009 ◽  
pp. 325-336 ◽  
Author(s):  
Nikola Milanovic ◽  
Mario Cartsburg ◽  
Ralf Kutsche ◽  
Jürgen Widiker ◽  
Frank Kschonsak
Keyword(s):  
Information Systems ◽  
Industrial Case Study ◽  
Heterogeneous Information ◽  
Model Based ◽  
Heterogeneous Information Systems

Heterogeneous IS Resources Acquisition: A Case Study

2010 ◽  
Vol 26-28 ◽  
pp. 426-429
Author(s):  
Bao Liang Hu
Keyword(s):  
Human Capital ◽  
Information Systems ◽  
Learning By Doing ◽  
Heterogeneous Information ◽  
Heterogeneous Information Systems ◽  
Learning By Using

Combined with the deep case study of Wahaha, this paper probe into the issue of enterprise heterogeneous information systems(IS) resources acquisition. And the findings show: learning by doing and learning by using are the effective approaches for the enterprise to acquire the heterogeneous IS human capital; initiative is crucial to acquire heterogeneous IS partnership; the preferred contractor is the important model for the enterprises to acquire the heterogeneous IS infrastructure. These findings not only enrich the theory of IS resources, but also expand the scope of existing research.

Ontology-Driven Requirements Elicitation Based on Scenario

2012 ◽  
Vol 542-543 ◽  
pp. 1459-1462 ◽  
Author(s):  
Zhi Jun Fan ◽  
Zhao Liang Jiang
Keyword(s):  
Association Rules ◽  
Mass Customization ◽  
Requirements Elicitation ◽  
Apriori Algorithm ◽  
Industrial Case Study ◽  
Model Based ◽  
Scenario Model

For the completeness and accuracy of customers' requirements information in the mass customization paradigm, a method of ontology-driven personal requirements elicitation based on scenario was proposed. Firstly, customer scenario model and product requirements model based on ontology theory were constructed respectively. Association rules were mined with Apriori algorithm using the method of metarule. Scenario ontology was mapped to requirement ontology completely. Then, customers' personal requirements information was elicited completely and accurately. Finally, industrial case study has been performed to demonstrate the practicality and effectiveness of the proposed approach.

Interconnecting Heterogeneous Information Systems

1998 ◽  
Author(s):  
Athman Bouguettaya ◽  
Boualem Benatallah ◽  
Ahmed Elmagarmid
Keyword(s):  
Information Systems ◽  
Heterogeneous Information ◽  
Heterogeneous Information Systems

scholarly journals Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems

2022 ◽  
Vol 70 (1) ◽  
pp. 413-431
Author(s):  
Nazarii Lutsiv ◽  
Taras Maksymyuk ◽  
Mykola Beshley ◽  
Orest Lavriv ◽  
Volodymyr Andrushchak ◽  
...  
Keyword(s):  
Information Systems ◽  
Anomaly Detection ◽  
Semisupervised Learning ◽  
Heterogeneous Information ◽  
Heterogeneous Information Systems ◽  
Network Anomaly Detection

Model-Based Testing of Highly Configurable Embedded Systems in the Automation Domain

2013 ◽  
pp. 108-125
Author(s):  
Detlef Streitferdt ◽  
Florian Kantz ◽  
Philipp Nenninger ◽  
Thomas Ruschival ◽  
Holger Kaul ◽  
...  
Keyword(s):  
Embedded Software ◽  
Combinatorial Design ◽  
Software Systems ◽  
Development Effort ◽  
Industrial Case Study ◽  
Model Based ◽  
Model Based Testing ◽  
Configurable System ◽  
Parameter Values

This article reports the results of an industrial case study demonstrating the efficacy of a model-based testing process in assuring the quality of highly configurable systems from the automation domain. Escalating demand for flexibility has made modern embedded software systems highly configurable. This configurability is often realized through parameters and a highly configurable system possesses a handful of those. Small changes in parameter values can account for significant changes in the system’s behavior, whereas in other cases, changed parameters may not result in any perceivable reaction. This case study addresses the challenge of applying model-based testing to configurable embedded software systems to reduce development effort. As a result of the case study, a model-based testing process was developed and tailored toward the needs of the automation domain. This process integrates existing model-based testing methods and tools, such as combinatorial design and constraint processing. The testing process was applied as part of the case study and analyzed in terms of its actual saving potentials, which reduced the testing effort by more than a third.

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